Research on the Construction Method of Digital Twin Functional Model for Intelligent Product Service Systems

With the emergence of Smart Product Service Systems (SPSS), the construction of digital twin functional models has become a critical research area. This study aims to propose a comprehensive approach for constructing digital twin functional models specifically for SPSS. Currently, research on SPSS and digital twin technology primarily focuses on models and structures, with limited in-depth analysis of their functional dimensions. To address this gap, we propose a method that combines the functional models from Model-Based Systems Engineering (MBSE) with the flow analysis models, including material flow, information flow, and energy flow. By establishing correlations between the elements of the functional model and the flow model, we develop a comprehensive digital twin functional model. To validate the effectiveness of this method, we apply it to a diesel engine as a case study and successfully construct a comprehensive digital twin functional model for the system. The application of this construction method in the diesel engine case study confirms its effectiveness and feasibility, providing valuable insights for research and practice in the field of SPSS.